A Review on Electrical Power System Contingency Ranking Using Artificial Intelligence Techniques
Journal Title: IOSR Journals (IOSR Journal of Electrical and Electronics Engineering) - Year 2017, Vol 12, Issue 4
Abstract
Contingency analysis is an important aspect of power system security assessment. Various probable outages is analyzed .Some cases may lead to transmission overload or bus limit violation. Such critical contingencies should be quickly identified for further detailed evaluation and for corrective measures. This process of identifying the critical contingencies is referred to as contingency selection. Conventional methods of contingency analysis are complete bounding methods; concentric relaxation methods [P]-Q method Zero miss match methods and Expert systems. Artificial intelligence techniques like Fuzzy Logic, Artificial neural network, Genetic algorithms, Particle swarm optimization techniques are used to do contingency analysis. In this paper bibliography of all the artificial intelligence techniques used for contingency analysis is listed. In addition to that data mining techniques used in the contingency analysis is also listed.
Authors and Affiliations
Lekshmi M, Dr. M. S. Nagaraj
Keywords
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- EP ID EP388216
- DOI 10.9790/1676-1204020610.
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